Slug Flow Correlations

Slug Flow Correlations is a mathematical model that predicts the hydrodynamic characteristics of intermittent two-phase flow regimes by empirically relating key flow variables such as liquid holdup, pressure drop, and slug velocity to input parameters in pipeline systems.

14

Publications

739

Citations

36

Authors

18

Institutions

Publications per year

2017–2026

5

Parents

Authors

36

  1. CS
    Cem Sarica

    University of Tulsa, United States

    3 publications · 54 citations

    3

    h-index

  2. OS
    Ovadia Shoham

    University of Tulsa, United States

    2 publications · 86 citations

    2

    h-index

  3. EP
    Eduardo Pereyra

    University of Tulsa, United States

    2 publications · 41 citations

    2

    h-index

  4. JP
    James P. Brill

    University of Tulsa, United States

    2 publications · 181 citations

    2

    h-index

  5. BA
    B.J. Azzopardi

    University of Nottingham, United Kingdom

    1 publications · 30 citations

    1

    h-index

1–5 of 36

Venues

  1. Journal of Energy Resources Technology

    2 publications · 38 citations

    2

    h-index

  2. 2

    h-index

  3. Experimental Thermal and Fluid Science

    ETFS · 1 publications · 10 citations

    1

    h-index

  4. SN Applied Sciences

    1 publications · 46 citations

    1

    h-index

  5. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 30 citations

    1

    h-index

1–5